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Medical Physics
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October 28, 2022
Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy
Donghoon Lee, Sadegh Alam, Jue Jiang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 21, 2022
Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer
Donghoon Lee, Yu-Chi Hu, Licheng Kuo, et al.
Journal of Applied Clinical Medical Physics
|
September 11, 2024
Geometric evaluation and quantifying dosimetric impact of diverse deformable image registration algorithms on abdomen images with biomechanically modeled deformations
Yilin Liu, Pengpeng Zhang, Jun Hong, et al.
Physics and Imaging in Radiation Oncology
|
March 4, 2022
Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients
Sadegh Alam, Harini Veeraraghavan, Kathryn Tringale, et al.
Medical Physics
|
June 4, 2020
External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis
Noemi Garau, Chiara Paganelli, Paul Summers, et al.
Physics in Medicine and Biology
|
October 2, 2020
Predictive dose accumulation for HN adaptive radiotherapy
Donghoon Lee, Pengpeng Zhang, Saad Nadeem, et al.
Medical Physics
|
July 14, 2023
Creating patient-specific digital phantoms with a longitudinal atlas for evaluating deformable CT-CBCT registration in adaptive lung radiotherapy
Sebastian Meyer, Sadegh Alam, Li Cheng Kuo, et al.
Physics and Imaging in Radiation Oncology
|
May 16, 2020
Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer
Sadegh Alam, Maria Thor, Andreas Rimner, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 8) with videos related to
Sort By:
Page
of 1
Medical Physics
|
October 28, 2022
Seq2Morph: A deep learning deformable image registration algorithm for longitudinal imaging studies and adaptive radiotherapy
Donghoon Lee, Sadegh Alam, Jue Jiang, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology
|
February 21, 2022
Deep learning driven predictive treatment planning for adaptive radiotherapy of lung cancer
Donghoon Lee, Yu-Chi Hu, Licheng Kuo, et al.
Journal of Applied Clinical Medical Physics
|
September 11, 2024
Geometric evaluation and quantifying dosimetric impact of diverse deformable image registration algorithms on abdomen images with biomechanically modeled deformations
Yilin Liu, Pengpeng Zhang, Jun Hong, et al.
Physics and Imaging in Radiation Oncology
|
March 4, 2022
Inter- and intrafraction motion assessment and accumulated dose quantification of upper gastrointestinal organs during magnetic resonance-guided ablative radiation therapy of pancreas patients
Sadegh Alam, Harini Veeraraghavan, Kathryn Tringale, et al.
Medical Physics
|
June 4, 2020
External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis
Noemi Garau, Chiara Paganelli, Paul Summers, et al.
Physics in Medicine and Biology
|
October 2, 2020
Predictive dose accumulation for HN adaptive radiotherapy
Donghoon Lee, Pengpeng Zhang, Saad Nadeem, et al.
Medical Physics
|
July 14, 2023
Creating patient-specific digital phantoms with a longitudinal atlas for evaluating deformable CT-CBCT registration in adaptive lung radiotherapy
Sebastian Meyer, Sadegh Alam, Li Cheng Kuo, et al.
Physics and Imaging in Radiation Oncology
|
May 16, 2020
Quantification of accumulated dose and associated anatomical changes of esophagus using weekly Magnetic Resonance Imaging acquired during radiotherapy of locally advanced lung cancer
Sadegh Alam, Maria Thor, Andreas Rimner, et al.
Page
of 1